Elucid Bioimaging Inc.

Thrive Bioscience, Inc.

Elucid Bioiwaging Inc.

Keith A Moulton

Andrew J Buckler

David Seungwon Paik

Xiaonan Ma

Kjell Johnson

Mark A Buckler

Vladimir Valtchinov

Howard Cannon

Mary E Buckler

Larry Martell

Samantha St Pierre

Systems and methods for analyzing pathologies utilizing quantitative imaging are presented herein. Advantageously, the systems and methods of the present disclosure utilize a hierarchical analytics framework that identifies and quantify biological properties/analytes from imaging data and then identifies and characterizes one or more pathologies based on the quantified biological properties/analytes. This hierarchical approach of using imaging to examine underlying biology as an intermediary to assessing pathology provides many analytic and processing advantages over systems and methods that are configured to directly determine and characterize pathology from underlying imaging data.

Characterizing permeability, neovascularization, necrosis, collagen breakdown, or inflammation

Systems and methods for diagnostics for management of cardiovascular disease patients

Determining biological properties of atherosclerotic plaque, coronary artery disease, or vasculopathy

Myocardial ischemia prediction

Non-invasive imaging to inform patient care

Longitudinal change measures for optimizing patient care

Non-invasive imaging to determine health and disease

Segmenting permeability, neovascularization, necrosis, collagen breakdown, or inflammation to characterize atherosclerotic plaque, coronary artery disease, or vasculopathy

Multiscale modeling to determine molecular profiles from radiology

Functional measures of stenosis significance

Systems and methods for optimizing analysis of CT angiography

Aspects of the present invention relate to an automated cell culture instrument and to methods for operating such an instrument. In one aspect, the cell culture instrument includes a computing unit and a plurality of electrically controllable resources (e.g., sensors, actuators, etc.). The computing unit receives a protocol, schedules the resources so as to execute the protocol, and operates the resources as scheduled or in response to so as to provide an improved environment for cell culture growth. The computing unit may simulate protocol execution in connection with the scheduling or execution of the protocol.

Instrument resource scheduling

Non-invasive quantitative imaging biomarkers of atherosclerotic plaque biology

Non-invasive risk stratification for atherosclerosis

Quantitative imaging for cancer subtype

Growing community of inventors

Amesbury, MA, United States of America

Keith A Moulton